Importance-aware SDN Control Mechanism for Real-time Data Distribution Services

Yun, Seongjin; Park, Jun-hong; Kim, Hyeong-su; Kim, Won‐Tae

doi:10.1109/ictc.2018.8539690

Cited by 4 publications

(3 citation statements)

References 14 publications

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“…Other studies consider digital twin implmentation in specific contexts, such as in livestock farms in the agricultural industry (Jo et al 2018), in carbon fibre composite parts manufacturing (Zambal et al 2018) and in 3D printing (Mukherjee and DebRoy 2019). The study by Yun et al (2018) further develop the focus on the digital twin specific requirements first detailed by Durão et al…”

Section: Main Path Analysismentioning

confidence: 96%

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Digital twin-enabled smart industrial systems: a bibliometric review

Ciano

Pozzi

Rossi

et al. 2020

International Journal of Computer Integrated Manufacturing

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The aim of this study is to investigate the body of literature on digital twins, exploring, in particular, their role in enabling smart industrial systems. This review adopts a dynamic and quantitative bibliometric method including works citations, keywords co-occurrence networks and keywords burst detection with the aim of clarifying the main contributions to this research area and highlighting prevalent topics and trends over time. The analysis performed on citations traces the backbone of contributions to the topic, visible within the main path. Keywords co-occurrence networks depict the prevalent issues addressed, tools implemented and application areas. The burst detection completes the analysis identifying the trends and most recent research areas characterizing research on the digital twin topic.Decision-making, process design and life cycle as well as the enabling role in the adoption of the latest industrial paradigms emerge as the prevalent issues addressed by the body of literature on digital twins. In particular, the up-to-date issues of real-time systems and industry 4.0 technologies, closely related to the concept of smart industrial systems, characterize the latest research trajectories identified in the literature on digital twins. In this context, the digital twin can find new opportunities for application in manufacturing, control and services.

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Section: Main Path Analysismentioning

confidence: 96%

“…2018) Yun et al (2018). present a software-defined networking control mechanism overcoming the limitations of communication and providing stable service in a digital twin context.…”

mentioning

confidence: 99%

Digital twin-enabled smart industrial systems: a bibliometric review

Ciano

Pozzi

Rossi

et al. 2020

International Journal of Computer Integrated Manufacturing

View full text Add to dashboard Cite

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“…For example, in [36], a DDS-based hierarchical controller plane structure is modelled that distributes time-critical synchronization and system breakdown information among the controllers by publishing their type in proactive manner to achieve better performance. Another SDN control mechanism is developed in [37] for dynamically configuring network based on the importance of shared data among the digital twins. The mechanism set this data importance in terms of the latency sensitivity attribute of the packets defined by the DDS QoS level.…”

Section: • Data Distribution Service (Dds): Dds Allows Asynchronous D...mentioning

confidence: 99%

Software-Defined Multi-domain Tactical Networks: Foundations and Future Directions

Mahmud¹,

Toosi²,

Rodríguez³

et al. 2020

Preprint

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Software Defined Networking (SDN) has emerged as a programmable approach for provisioning and managing network resources by defining a clear separation between the control and data forwarding planes. Nowadays SDN has gained significant attention in the military domain. Its use in the battlefield communication facilitates the end-to-end interactions and assists the exploitation of edge computing resources for processing data in the proximity. However, there are still various challenges related to the security and interoperability among several heterogeneous, dynamic, intermittent, and data packet technologies like multi-bearer network (MBN) that need to be addressed to leverage the benefits of SDN in tactical environments. In this chapter, we explicitly analyse these challenges and review the current research initiatives in SDN-enabled tactical networks. We also present a taxonomy on SDNbased tactical network orchestration according to the identified challenges and map the existing works to the taxonomy aiming at determining the research gaps and suggesting future directions.

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